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Semiautomated 3D Root Segmentation and Evaluation Based on X-Ray CT Imagery

机译:基于X射线CT图像的半归化3D根分割和评估

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摘要

Computed X-ray tomography (CTX) is a high-end nondestructive approach for the visual assessment of root architecture in soil. Nevertheless, in order to evaluate high-resolution CTX data of root architectures, manual segmentation of the depicted root systems from large-scale volume data is currently necessary, which is both time consuming and error prone. The duration of such a segmentation is of importance, especially for time-resolved growth analysis, where several instances of a plant need to be segmented and evaluated. Specifically, in our application, the contrast between soil and root data varies due to different growth stages and watering situations at the time of scanning. Additionally, the root system itself is expanding in length and in the diameter of individual roots.
机译:计算的X射线断层扫描(CTX)是一种高端非破坏性方法,可视于土壤中根系结构的视觉评估。尽管如此,为了评估根架构的高分辨率CTX数据,目前需要从大规模的大规模数据的所描绘的根系系统的手动分割,这既耗时也是容易出错的。这种分割的持续时间是重要的,特别是对于时间分辨的生长分析,其中植物的几种情况需要分段和评估。具体而言,在我们的应用中,土壤和根数据之间的对比度因扫描时的不同增长阶段和浇水情况而变化。另外,根系系统本身在长度和各个根的直径中扩展。

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